GeoCode Interactive Demo
Beta
This interactive demo showcases the geometric transformation capabilities of the GeoCode SDK. Experiment with different transformations, dimensional projections, and visualization techniques.
Geometric Visualization
Vertices: 6
Faces: 8
Bit Code: 0x80
Transformation Properties
Phi Resonance
0.82
Harmonic Balance
0.94
Dimensional Coherence
0.78
Symmetry Factor
0.96
Bit Sequence Encoding
64-bit Octahedral Framework
10000000
01000000
00100000
00010000
00000000 ... 00000000
Octahedron
32-bit Split
√2 (45)
φ (52)
Geometric Data
SDK Implementation
import { GeoCode } from '@dragonfire/geocode-sdk';
// Initialize GeoCode
const geoCode = new GeoCode();
// Create an octahedron
const octahedron = geoCode.createStructure('octahedron');
// Apply jitterbug transformation
const transformedStructure = geoCode.applyJitterbug(
octahedron,
'icosahedron',
0.5 // transformation factor (0.0 to 1.0)
);
// Get bit encoding
const bitPattern = geoCode.convertToBits(transformedStructure);
console.log(`Bit pattern: 0x${bitPattern.toString(16)}`);
// Create renderer and visualize
const renderer = new GeoCode.Renderer('#canvas');
renderer.visualize(transformedStructure);#include "geocode.h"
int main() {
// Initialize GeoCode
GeoCode* gc = geocode_init();
// Create octahedron structure
geometric_structure_t* octahedron =
geocode_createStructure(gc, STRUCTURE_OCTAHEDRON);
// Apply jitterbug transformation
geocode_applyJitterbug(
gc,
octahedron,
JITTERBUG_ICOSAHEDRON,
0.5 // transformation factor (0.0 to 1.0)
);
// Get bit pattern
uint64_t bit_pattern = geocode_convertToBits(gc, octahedron);
printf("Bit pattern: 0x%016llX\n", bit_pattern);
// Clean up
geocode_freeStructure(gc, octahedron);
geocode_free(gc);
return 0;
}import dragonfire.geocode as gc
# Initialize GeoCode
geocode = gc.GeoCode()
# Create octahedron structure
octahedron = geocode.create_structure(gc.STRUCTURE_OCTAHEDRON)
# Apply jitterbug transformation
transformed = geocode.apply_jitterbug(
octahedron,
gc.JITTERBUG_ICOSAHEDRON,
0.5 # transformation factor (0.0 to 1.0)
)
# Get bit pattern
bit_pattern = geocode.convert_to_bits(transformed)
print(f"Bit pattern: 0x{bit_pattern:016x}")
# Visualize (using matplotlib)
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# Get vertices and faces
vertices = transformed.get_vertices()
faces = transformed.get_faces()
# Create 3D plot
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
# Plot each face
for face in faces:
face_verts = [vertices[i] for i in face]
x = [v[0] for v in face_verts]
y = [v[1] for v in face_verts]
z = [v[2] for v in face_verts]
# Plot face
ax.plot_trisurf(x, y, z, alpha=0.7)
plt.show()